Your study software can now work with the AI assistant your team already uses.
Through the Model Context Protocol (MCP), an assistant such as Claude, ChatGPT or Copilot can work inside your study platform, with the same permissions as the person who asks. It drafts, checks and reports. Your team reviews and decides.
This white paper explains, without technical jargon, what changes for data managers, project managers and CRO teams. It also sets out what stays with people under Good Clinical Practice.
Inside the white paper
- The basics: what an AI assistant is, what MCP is, and why one connection serves every compatible assistant
- Six uses across a study: study design from the protocol, testing before go-live, reporting routines, monitoring, access and audit questions, risk-based monitoring
- What changes for each role, and what stays with people
- How to pick the right model for each task, from design work to everyday questions
- Five principles for a responsible setup, mapped to ICH GCP, FDA 21 CFR Part 11, GDPR and HIPAA
- First steps to get your team started
Why it matters
An assistant can take on much of the groundwork: turning a protocol into forms, checking each visit, chasing missing data, answering the same status questions from sponsors. People still validate, sign and decide.
The teams that start learning now will shape how our industry builds the next generation of trials.
Download the free white paper
Florentin combines clinical research know-how with a true passion for product design. Attentive to detail and obsessed with user experience, he ensures that Datacapt remains a high-performance platform that’s also intuitive and accessible to every user.
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